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Product Manager - Algorithmic Strategies Remoto EUR 60.000 - 80.000 3 giorni fa Product Manager - Algorithmic Strategies Remoto EUR 60.000 - 80.000 Product Manager - Algorithmic Strategies Join to apply for the Product Manager - Algorithmic Strategies role at Keyrock . About Keyrock Since our beginnings in 2017, we've grown to be a leading change‑maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges and working with a wide array of asset issuers. As a well‑established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high‑frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust development language for our algorithmic trading and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets, we're actively building it. Mission statement We’re looking for a hands‑on Product Manager to lead the squad building Keyrock’s algorithmic trading platform, the core systems that enable our market making, arbitrage, and basis trading strategies to scale across exchanges and asset classes. This role sits at the intersection of quantitative trading, software engineering, and product leadership. You’ll translate trader and researcher needs into robust, flexible systems that empower strategy innovation and improve execution quality. You’ll define and deliver products that help quants codify, test, and deploy systematic strategies efficiently, while ensuring tight integration with our trading stack and exchange infrastructure. If you thrive at the crossroads of code and markets, and understand how exchange mechanics, liquidity, and latency shape profitability, this is your chance to help build the next generation of algorithmic trading technology. Job Description Own the product vision, roadmap, and execution for the Algorithmic Strategy Tooling squad, enabling rapid development and deployment of quantitative strategies. Collaborate closely with traders, quantitative researchers, and engineers to define system requirements for market making, arbitrage, basis, and other algorithmic strategies. Translate high‑level strategy concepts into structured, production‑ready tooling including simulation frameworks, execution engines, signal orchestration, and monitoring. Partner with engineering to design APIs, services, and data pipelines that integrate seamlessly with order management, risk, and exchange connectivity layers. Prioritize initiatives that improve strategy velocity, reliability, and performance across centralized and decentralized exchanges. Define key product metrics such as strategy deployment latency, fill efficiency, and PnL attribution accuracy, and use them to drive iteration. Act as the internal product advocate, aligning business goals, trading performance objectives, and engineering constraints. Contribute to long‑term architecture discussions to ensure scalability, modularity, and maintainability of strategy infrastructure. Background and Experience Proven track record as a Product Manager in algorithmic or systematic trading, market making, or crypto trading. Must have hands‑on experience implementing or managing codified trading strategies, ideally in crypto or high‑frequency environments. Strong technical understanding of exchange mechanics, order book microstructure, latency optimisation, and execution algorithms. Solid grasp of Python, Rust, or C++, and the software development lifecycle, able to discuss implementation details with engineers and quants alike. Experience collaborating with quant researchers, traders, and infrastructure teams to define and deliver trading systems or simulation environments. Familiarity with crypto markets across both centralized (spot, futures) and decentralized venues (DEXs, AMMs). Data‑driven mindset with comfort in analytics, PnL attribution, and strategy performance measurement. Bonus: understanding of capital allocation systems, portfolio optimisation, and risk overlays for multi‑strategy trading. Competences and Personality Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Mathematics, or a related field. 4+ years of experience in product management or technical trading roles, preferably within a high‑frequency, prop trading, or crypto environment. Deep curiosity for markets and technology, a builder mindset with the ability to bridge traders’ goals and engineers’ realities. Excellent written and verbal communication skills, able to distill complex system or market concepts for diverse audiences. Strong sense of ownership, prioritization, and delivery in fast‑paced, high‑stakes environments. Collaborative, pragmatic, and able to navigate between research, infrastructure, and operations teams. Our Recruitment Philosophy We value self‑awareness and purpose. We look for people who understand their strengths, are eager to learn, and want to shape the evolution of trading technology. The perfect fit is a crypto‑native builder with quantitative intuition and the drive to turn ideas into scalable systems. Our Offer Flexible hours and remote‑friendly setup The opportunity to shape next‑generation trading infrastructure and collaborate with top quantitative and engineering talent A fast‑moving environment where autonomy and impact go hand in hand Seniority level Employment type Job function Product Management and Marketing Referrals increase your chances of interviewing at Keyrock by 2x. #J-18808-Ljbffr
